Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 60
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Stannard
5
83 kgMagazzini
9
58 kgSteensen
14
65 kgPliușchin
17
66 kgGastauer
19
73 kgBellis
21
69 kgGautier
24
65 kgKvist
25
68 kgJanse van Rensburg
27
63 kgVenter
29
70 kgSwift
30
69 kgBerdos
39
68 kgLudescher
45
72 kgBonnafond
51
68 kgSaggiorato
54
58 kgMalori
57
68 kgSchorn
63
72 kgMargot
64
65 kgGuarnieri
81
80 kgBoaro
87
64 kgVinther
100
68 kgTaramarcaz
101
64 kg
5
83 kgMagazzini
9
58 kgSteensen
14
65 kgPliușchin
17
66 kgGastauer
19
73 kgBellis
21
69 kgGautier
24
65 kgKvist
25
68 kgJanse van Rensburg
27
63 kgVenter
29
70 kgSwift
30
69 kgBerdos
39
68 kgLudescher
45
72 kgBonnafond
51
68 kgSaggiorato
54
58 kgMalori
57
68 kgSchorn
63
72 kgMargot
64
65 kgGuarnieri
81
80 kgBoaro
87
64 kgVinther
100
68 kgTaramarcaz
101
64 kg
Weight (KG) →
Result →
83
58
5
101
# | Rider | Weight (KG) |
---|---|---|
5 | STANNARD Ian | 83 |
9 | MAGAZZINI Enrico | 58 |
14 | STEENSEN André | 65 |
17 | PLIUȘCHIN Alexandr | 66 |
19 | GASTAUER Ben | 73 |
21 | BELLIS Jonathan | 69 |
24 | GAUTIER Cyril | 65 |
25 | KVIST Thomas Vedel | 68 |
27 | JANSE VAN RENSBURG Jacques | 63 |
29 | VENTER Jaco | 70 |
30 | SWIFT Ben | 69 |
39 | BERDOS Oleg | 68 |
45 | LUDESCHER Philipp | 72 |
51 | BONNAFOND Guillaume | 68 |
54 | SAGGIORATO Mirco | 58 |
57 | MALORI Adriano | 68 |
63 | SCHORN Daniel | 72 |
64 | MARGOT Arnaud | 65 |
81 | GUARNIERI Jacopo | 80 |
87 | BOARO Manuele | 64 |
100 | VINTHER Troels Rønning | 68 |
101 | TARAMARCAZ Julien | 64 |